Handbook of Biometrics [electronic resource] /
Jain, Anil K.editor.
Flynn, Patrick.editor.
Ross, Arun A.editor.
Biometric recognition, or simply biometrics, is a rapidly evolving field with applications ranging from accessing one's computer, to gaining entry into a country. Biometric systems rely on the use of physical or behavioral traits, such as fingerprints, face, voice and hand geometry, to establish the identity of an individual. The deployment of large-scale biometric systems in both commercial (e.g., grocery stores, amusement parks, airports) and government (e.g., US-VISIT) applications, increases the public's awareness of this technology. This rapid growth also highlights the challenges associated with designing and deploying biometric systems. Indeed, the problem of biometric recognition is a grand challenge in its own right. The past five years have seen a significant growth in biometric research resulting in the development of innovative sensors, robust and efficient algorithms for feature extraction and matching, enhanced test methodologies and novel applications. These advances have resulted in robust, accurate, secure and cost effective biometric systems. The Handbook of Biometrics -- an edited volume by prominent invited researchers in biometrics -- describes the fundamentals as well as the latest advancements in the burgeoning field of biometrics. It is designed for professionals, practitioners and researchers in biometrics, pattern recognition and computer security. The Handbook of Biometrics can be used as a primary textbook for an undergraduate biometrics class. This book is also suitable as a secondary textbook or reference for advanced-level students in computer science.    .
Description based upon print version of record.
Includes bibliographical references and index.
to Biometrics -- Fingerprint Recognition -- Face Recognition -- Iris Recognition -- Hand Geometry Recognition -- Gait Recognition -- The Ear as a Biometric -- Voice Biometrics -- A Palmprint Authentication System -- On-Line Signature Verification -- 3D Face Recognition -- Automatic Forensic Dental Identification -- Hand Vascular Pattern Technology -- to Multibiometrics -- Multispectral Face Recognition -- Multibiometrics Using Face and Ear -- Incorporating Ancillary Information in Multibiometric Systems -- The Law and the Use of Biometrics -- Biometric System Security -- Spoof Detection Schemes -- Linkages between Biometrics and Forensic Science -- Biometrics in the Government Sector -- Biometrics in the Commercial Sector -- Biometrics Standards -- Biometrics databases.
Biometric recognition, or simply biometrics, is a rapidly evolving field with applications ranging from accessing one's computer, to gaining entry into a country. Biometric systems rely on the use of physical or behavioral traits, such as fingerprints, face, voice and hand geometry, to establish the identity of an individual. The deployment of large-scale biometric systems in both commercial (e.g., grocery stores, amusement parks, airports) and government (e.g., US-VISIT) applications, increases the public's awareness of this technology. This rapid growth also highlights the challenges associated with designing and deploying biometric systems. Indeed, the problem of biometric recognition is a grand challenge in its own right. The past five years have seen a significant growth in biometric research resulting in the development of innovative sensors, robust and efficient algorithms for feature extraction and matching, enhanced test methodologies and novel applications. These advances have resulted in robust, accurate, secure and cost effective biometric systems. The Handbook of Biometrics -- an edited volume by prominent invited researchers in biometrics -- describes the fundamentals as well as the latest advancements in the burgeoning field of biometrics. It is designed for professionals, practitioners and researchers in biometrics, pattern recognition and computer security. The Handbook of Biometrics can be used as a primary textbook for an undergraduate biometrics class. This book is also suitable as a secondary textbook or reference for advanced-level students in computer science.    .
Pattern recognition.
Optical data processing.
Data encryption (Computer science).
Data structures (Computer science).
Multimedia information systems.
Pattern Recognition.
Image Processing and Computer Vision.
Cryptology.
Data Structures and Information Theory.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Multimedia Information Systems.